Incenting online content creation using machine learning

A system comprising:

• one or more hardware processors;
• and
• a non-transitory machine-readable medium for storing instructions that, when executed by the one or more hardware processors, cause the one or more hardware processors to perform operations comprising:
• accessing a relevance value, the relevance value identifying a level of relevance of a content item to a user, the content item being created by a content creator for publication on an online social networking service;
• generating, using one or more hardware processors and a machine learning model, a feedback sensitivity score associated with the content creator, the machine learning model using one or more feedback features identifying feedback signals received for one or more previously created content items;
• generating, based on the relevance value and a product between the feedback sensitivity score and a likelihood of the user providing a feedback signal in relation to the content item, a ranking score for the content item created by the content creator;
• and
• causing display of the content item in a user interface of a client device associated with the user, the user interface displaying the content item in relation to other content items based on the ranking score for the content item, an input pertaining to the content item received via the user interface causing improvement of the machine learning model based on updating the one or more feedback features used by the machine learning model.

A non-transitory machine-readable medium for storing instructions that, when executed by one or more hardware processors of a machine, cause the machine to perform operations comprising:

• accessing a relevance value, the relevance value identifying a level of relevance of a content item to a user, the content item being created by a content creator for publication on an online social networking service;
• generating, using one or more hardware processors and a machine learning model, a feedback sensitivity score associated with the content creator, the machine learning model using one or more feedback features identifying feedback signals received for one or more previously created content items;
• generating, based on the relevance value and a product between the feedback sensitivity score and a likelihood of the user providing a feedback signal in relation to the content item, a ranking score for the content item created by the content creator;
• and
• causing display of the content item in a user interface of a client device associated with the user, the user interface displaying the content item in relation to other content items based on the ranking score for the content item, an input pertaining to the content item received via the user interface causing improvement of the machine learning model based on updating the one or more feedback features used by the machine learning model.